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Author | David Roche; Debora Gil; Jesus Giraldo | ||||
Title | Using statistical inference for designing termination conditions ensuring convergence of Evolutionary Algorithms | Type | Conference Article | ||
Year | 2011 | Publication | 11th European Conference on Artificial Life | Abbreviated Journal | |
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Abstract | A main challenge in Evolutionary Algorithms (EAs) is determining a termination condition ensuring stabilization close to the optimum in real-world applications. Although for known test functions distribution-based quantities are good candidates (as far as suitable parameters are used), in real-world problems an open question still remains unsolved. How can we estimate an upper-bound for the termination condition value ensuring a given accuracy for the (unknown) EA solution?
We claim that the termination problem would be fully solved if we defined a quantity (depending only on the EA output) behaving like the solution accuracy. The open question would be, then, satisfactorily answered if we had a model relating both quantities, since accuracy could be predicted from the alternative quantity. We present a statistical inference framework addressing two topics: checking the correlation between the two quantities and defining a regression model for predicting (at a given confidence level) accuracy values from the EA output. |
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Address | Paris, France | ||||
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Area | Expedition | Conference | ECAL | ||
Notes | IAM; | Approved | no | ||
Call Number | IAM @ iam @ RGG2011b | Serial | 1678 | ||
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Author | Ferran Poveda; Debora Gil ;Albert Andaluz ;Enric Marti | ||||
Title | Multiscale Tractography for Representing Heart Muscular Architecture | Type | Conference Article | ||
Year | 2011 | Publication | In MICCAI 2011 Workshop on Computational Diffusion MRI | Abbreviated Journal | |
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Abstract | Deep understanding of myocardial structure of the heart would unravel crucial knowledge for clinical and medical procedures. Although the muscular architecture of the heart has been debated by countless researchers, the controversy is still alive. Diffusion Tensor MRI, DT-MRI, is a unique imaging technique for computational validation of the muscular structure of the heart. By the complex arrangement of myocites, existing techniques can not provide comprehensive descriptions of the global muscular architecture. In this paper we introduce a multiresolution reconstruction technique based on DT-MRI streamlining for simplified global myocardial model generation. Our reconstructions can restore the most complex myocardial structures and indicate a global helical organization | ||||
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Publisher | Place of Publication | Editor | |||
Language | English | Summary Language | english | Original Title | |
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ISSN | ISBN | Medium | |||
Area | Expedition | Conference | CDRMI | ||
Notes | IAM | Approved | no | ||
Call Number | IAM @ iam @ PGA2011 | Serial | 1681 | ||
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Author | Patricia Marquez; Debora Gil; Aura Hernandez-Sabate | ||||
Title | A Confidence Measure for Assessing Optical Flow Accuracy in the Absence of Ground Truth | Type | Conference Article | ||
Year | 2011 | Publication | IEEE International Conference on Computer Vision – Workshops | Abbreviated Journal | |
Volume | Issue | Pages | 2042-2049 | ||
Keywords | IEEE International Conference on Computer Vision – Workshops | ||||
Abstract | Optical flow is a valuable tool for motion analysis in autonomous navigation systems. A reliable application requires determining the accuracy of the computed optical flow. This is a main challenge given the absence of ground truth in real world sequences. This paper introduces a measure of optical flow accuracy for Lucas-Kanade based flows in terms of the numerical stability of the data-term. We call this measure optical flow condition number. A statistical analysis over ground-truth data show a good statistical correlation between the condition number and optical flow error. Experiments on driving sequences illustrate its potential for autonomous navigation systems. | ||||
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Publisher | IEEE | Place of Publication | Barcelona (Spain) | Editor | |
Language | English | Summary Language | English | Original Title | |
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ISSN | ISBN | Medium | |||
Area | Expedition | Conference | ICCVW | ||
Notes | IAM; ADAS | Approved | no | ||
Call Number | IAM @ iam @ MGH2011 | Serial | 1682 | ||
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Author | David Vazquez; Antonio Lopez; Daniel Ponsa; Javier Marin | ||||
Title | Virtual Worlds and Active Learning for Human Detection | Type | Conference Article | ||
Year | 2011 | Publication | 13th International Conference on Multimodal Interaction | Abbreviated Journal | |
Volume | Issue | Pages | 393-400 | ||
Keywords | Pedestrian Detection; Human detection; Virtual; Domain Adaptation; Active Learning | ||||
Abstract | Image based human detection is of paramount interest due to its potential applications in fields such as advanced driving assistance, surveillance and media analysis. However, even detecting non-occluded standing humans remains a challenge of intensive research. The most promising human detectors rely on classifiers developed in the discriminative paradigm, i.e., trained with labelled samples. However, labeling is a manual intensive step, especially in cases like human detection where it is necessary to provide at least bounding boxes framing the humans for training. To overcome such problem, some authors have proposed the use of a virtual world where the labels of the different objects are obtained automatically. This means that the human models (classifiers) are learnt using the appearance of rendered images, i.e., using realistic computer graphics. Later, these models are used for human detection in images of the real world. The results of this technique are surprisingly good. However, these are not always as good as the classical approach of training and testing with data coming from the same camera, or similar ones. Accordingly, in this paper we address the challenge of using a virtual world for gathering (while playing a videogame) a large amount of automatically labelled samples (virtual humans and background) and then training a classifier that performs equal, in real-world images, than the one obtained by equally training from manually labelled real-world samples. For doing that, we cast the problem as one of domain adaptation. In doing so, we assume that a small amount of manually labelled samples from real-world images is required. To collect these labelled samples we propose a non-standard active learning technique. Therefore, ultimately our human model is learnt by the combination of virtual and real world labelled samples (Fig. 1), which has not been done before. We present quantitative results showing that this approach is valid. | ||||
Address | Alicante, Spain | ||||
Corporate Author | Thesis | ||||
Publisher | ACM DL | Place of Publication | New York, NY, USA, USA | Editor | |
Language | English | Summary Language | English | Original Title | Virtual Worlds and Active Learning for Human Detection |
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ISSN | ISBN | 978-1-4503-0641-6 | Medium | ||
Area | Expedition | Conference | ICMI | ||
Notes | ADAS | Approved | yes | ||
Call Number | ADAS @ adas @ VLP2011a | Serial | 1683 | ||
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Author | Aura Hernandez-Sabate; Debora Gil | ||||
Title | The Benefits of IVUS Dynamics for Retrieving Stable Models of Arteries | Type | Book Chapter | ||
Year | 2012 | Publication | Intravascular Ultrasound | Abbreviated Journal | |
Volume | Issue | Pages | 185-206 | ||
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Publisher | Intech | Place of Publication | Editor | Yasuhiro Honda | |
Language | English | Summary Language | english | Original Title | |
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ISSN | ISBN | 978-953-307-900-4 | Medium | ||
Area | Expedition | Conference | |||
Notes | IAM; ADAS | Approved | no | ||
Call Number | IAM @ iam @ HeG2012 | Serial | 1684 | ||
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Author | Andrew Nolan; Daniel Serrano; Aura Hernandez-Sabate; Daniel Ponsa; Antonio Lopez | ||||
Title | Obstacle mapping module for quadrotors on outdoor Search and Rescue operations | Type | Conference Article | ||
Year | 2013 | Publication | International Micro Air Vehicle Conference and Flight Competition | Abbreviated Journal | |
Volume | Issue | Pages | |||
Keywords | UAV | ||||
Abstract | Obstacle avoidance remains a challenging task for Micro Aerial Vehicles (MAV), due to their limited payload capacity to carry advanced sensors. Unlike larger vehicles, MAV can only carry light weight sensors, for instance a camera, which is our main assumption in this work. We explore passive monocular depth estimation and propose a novel method Position Aided Depth Estimation
(PADE). We analyse PADE performance and compare it against the extensively used Time To Collision (TTC). We evaluate the accuracy, robustness to noise and speed of three Optical Flow (OF) techniques, combined with both depth estimation methods. Our results show PADE is more accurate than TTC at depths between 0-12 meters and is less sensitive to noise. Our findings highlight the potential application of PADE for MAV to perform safe autonomous navigation in unknown and unstructured environments. |
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Address | Toulouse; France; September 2013 | ||||
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Area | Expedition | Conference | IMAV | ||
Notes | ADAS; 600.054; 600.057;IAM | Approved | no | ||
Call Number | Admin @ si @ NSH2013 | Serial | 2371 | ||
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Author | Anastasios Doulamis; Nikolaos Doulamis; Marco Bertini; Jordi Gonzalez; Thomas B. Moeslund | ||||
Title | Analysis and Retrieval of Tracked Events and Motion in Imagery Streams | Type | Miscellaneous | ||
Year | 2013 | Publication | ACM/IEEE international workshop on Analysis and retrieval of tracked events and motion in imagery stream | Abbreviated Journal | |
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Address | Barcelona; October 2013 | ||||
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Notes | ISE | Approved | no | ||
Call Number | Admin @ si @ DDB2013 | Serial | 2372 | ||
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Author | Naveen Onkarappa; Angel Sappa | ||||
Title | Space Variant Representations for Mobile Platform Vision Applications | Type | Conference Article | ||
Year | 2011 | Publication | 14th International Conference on Computer Analysis of Images and Patterns | Abbreviated Journal | |
Volume | 6855 | Issue | II | Pages | 146-154 |
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Abstract | The log-polar space variant representation, motivated by biological vision, has been widely studied in the literature. Its data reduction and invariance properties made it useful in many vision applications. However, due to its nature, it fails in preserving features in the periphery. In the current work, as an attempt to overcome this problem, we propose a novel space-variant representation. It is evaluated and proved to be better than the log-polar representation in preserving the peripheral information, crucial for on-board mobile vision applications. The evaluation is performed by comparing log-polar and the proposed representation once they are used for estimating dense optical flow. | ||||
Address | Seville, Spain | ||||
Corporate Author | Thesis | ||||
Publisher | Springer Berlin Heidelberg | Place of Publication | Editor | P. Real, D. Diaz, H. Molina, A. Berciano, W. Kropatsch | |
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ISSN | 0302-9743 | ISBN | 978-3-642-23677-8 | Medium | |
Area | Expedition | Conference | CAIP | ||
Notes | ADAS | Approved | no | ||
Call Number | NaS2011; ADAS @ adas @ | Serial | 1686 | ||
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Author | Lluis Pere de las Heras; Ahmed Sheraz; Marcus Liwicki; Ernest Valveny; Gemma Sanchez | ||||
Title | Statistical Segmentation and Structural Recognition for Floor Plan Interpretation | Type | Journal Article | ||
Year | 2014 | Publication | International Journal on Document Analysis and Recognition | Abbreviated Journal | IJDAR |
Volume | 17 | Issue | 3 | Pages | 221-237 |
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Abstract | A generic method for floor plan analysis and interpretation is presented in this article. The method, which is mainly inspired by the way engineers draw and interpret floor plans, applies two recognition steps in a bottom-up manner. First, basic building blocks, i.e., walls, doors, and windows are detected using a statistical patch-based segmentation approach. Second, a graph is generated, and structural pattern recognition techniques are applied to further locate the main entities, i.e., rooms of the building. The proposed approach is able to analyze any type of floor plan regardless of the notation used. We have evaluated our method on different publicly available datasets of real architectural floor plans with different notations. The overall detection and recognition accuracy is about 95 %, which is significantly better than any other state-of-the-art method. Our approach is generic enough such that it could be easily adopted to the recognition and interpretation of any other printed machine-generated structured documents. | ||||
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Publisher | Springer Berlin Heidelberg | Place of Publication | Editor | ||
Language | Summary Language | Original Title | |||
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Series Volume | Series Issue | Edition | |||
ISSN | 1433-2833 | ISBN | Medium | ||
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Notes | DAG; ADAS; 600.076; 600.077 | Approved | no | ||
Call Number | HSL2014 | Serial | 2370 | ||
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Author | H. Emrah Tasli; Cevahir Çigla; Theo Gevers; A. Aydin Alatan | ||||
Title | Super pixel extraction via convexity induced boundary adaptation | Type | Conference Article | ||
Year | 2013 | Publication | 14th IEEE International Conference on Multimedia and Expo | Abbreviated Journal | |
Volume | Issue | Pages | 1-6 | ||
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Abstract | This study presents an efficient super-pixel extraction algorithm with major contributions to the state-of-the-art in terms of accuracy and computational complexity. Segmentation accuracy is improved through convexity constrained geodesic distance utilization; while computational efficiency is achieved by replacing complete region processing with boundary adaptation idea. Starting from the uniformly distributed rectangular equal-sized super-pixels, region boundaries are adapted to intensity edges iteratively by assigning boundary pixels to the most similar neighboring super-pixels. At each iteration, super-pixel regions are updated and hence progressively converging to compact pixel groups. Experimental results with state-of-the-art comparisons, validate the performance of the proposed technique in terms of both accuracy and speed. | ||||
Address | San Jose; USA; July 2013 | ||||
Corporate Author | Thesis | ||||
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ISSN | 1945-7871 | ISBN | Medium | ||
Area | Expedition | Conference | ICME | ||
Notes | ALTRES;ISE | Approved | no | ||
Call Number | Admin @ si @ TÇG2013 | Serial | 2367 | ||
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Author | H. Emrah Tasli; Jan van Gemert; Theo Gevers | ||||
Title | Spot the differences: from a photograph burst to the single best picture | Type | Conference Article | ||
Year | 2013 | Publication | 21ST ACM International Conference on Multimedia | Abbreviated Journal | |
Volume | Issue | Pages | 729-732 | ||
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Abstract | With the rise of the digital camera, people nowadays typically take several near-identical photos of the same scene to maximize the chances of a good shot. This paper proposes a user-friendly tool for exploring a personal photo gallery for selecting or even creating the best shot of a scene between its multiple alternatives. This functionality is realized through a graphical user interface where the best viewpoint can be selected from a generated panorama of the scene. Once the viewpoint is selected, the user is able to go explore possible alternatives coming from the other images. Using this tool, one can explore a photo gallery efficiently. Moreover, additional compositions from other images are also possible. With such additional compositions, one can go from a burst of photographs to the single best one. Even funny compositions of images, where you can duplicate a person in the same image, are possible with our proposed tool. | ||||
Address | Barcelona | ||||
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Area | Expedition | Conference | ACM-MM | ||
Notes | ALTRES;ISE | Approved | no | ||
Call Number | TGG2013 | Serial | 2368 | ||
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Author | Sezer Karaoglu; Jan van Gemert; Theo Gevers | ||||
Title | Con-text: text detection using background connectivity for fine-grained object classification | Type | Conference Article | ||
Year | 2013 | Publication | 21ST ACM International Conference on Multimedia | Abbreviated Journal | |
Volume | Issue | Pages | 757-760 | ||
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Area | Expedition | Conference | ACM-MM | ||
Notes | ALTRES;ISE | Approved | no | ||
Call Number | Admin @ si @ KGG2013 | Serial | 2369 | ||
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Author | Eric Amiel | ||||
Title | Visualisation de vaisseaux sanguins | Type | Report | ||
Year | 2005 | Publication | Rapport de Stage | Abbreviated Journal | |
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Corporate Author | Université Paul Sabatier Toulouse III | Thesis | Bachelor's thesis | ||
Publisher | Université Paul Sabatier Toulouse III | Place of Publication | Toulouse | Editor | Enric Marti |
Language | French | Summary Language | French | Original Title | |
Series Editor | IUP Systèmes Intelligents | Series Title | Abbreviated Series Title | ||
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Area | Expedition | Conference | |||
Notes | IAM | Approved | no | ||
Call Number | IAM @ iam @ Ami2005 | Serial | 1690 | ||
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Author | Debora Gil; Agnes Borras; Manuel Ballester; Francesc Carreras; Ruth Aris; Manuel Vazquez; Enric Marti; Ferran Poveda | ||||
Title | MIOCARDIA: Integrating cardiac function and muscular architecture for a better diagnosis | Type | Conference Article | ||
Year | 2011 | Publication | 14th International Symposium on Applied Sciences in Biomedical and Communication Technologies | Abbreviated Journal | |
Volume | Issue | Pages | |||
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Abstract | Deep understanding of myocardial structure of the heart would unravel crucial knowledge for clinical and medical procedures. The MIOCARDIA project is a multidisciplinary project in cooperation with l'Hospital de la Santa Creu i de Sant Pau, Clinica la Creu Blanca and Barcelona Supercomputing Center. The ultimate goal of this project is defining a computational model of the myocardium. The model takes into account the deep interrelation between the anatomy and the mechanics of the heart. The paper explains the workflow of the MIOCARDIA project. It also introduces a multiresolution reconstruction technique based on DT-MRI streamlining for simplified global myocardial model generation. Our reconstructions can restore the most complex myocardial structures and provides evidences of a global helical organization. | ||||
Address | Barcelona; Spain | ||||
Corporate Author | Association for Computing Machinery | Thesis | |||
Publisher | Place of Publication | Barcelona, Spain | Editor | Association for Computing Machinery | |
Language | english | Summary Language | english | Original Title | |
Series Editor | Series Title | Abbreviated Series Title | |||
Series Volume | Series Issue | Edition | |||
ISSN | ISBN | 978-1-4503-0913-4 | Medium | ||
Area | Expedition | Conference | ISABEL | ||
Notes | IAM | Approved | no | ||
Call Number | IAM @ iam @ GGB2011 | Serial | 1691 | ||
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Author | Ivo Everts; Jan van Gemert; Theo Gevers | ||||
Title | Evaluation of Color STIPs for Human Action Recognition | Type | Conference Article | ||
Year | 2013 | Publication | IEEE Conference on Computer Vision and Pattern Recognition | Abbreviated Journal | |
Volume | Issue | Pages | 2850-2857 | ||
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Abstract | This paper is concerned with recognizing realistic human actions in videos based on spatio-temporal interest points (STIPs). Existing STIP-based action recognition approaches operate on intensity representations of the image data. Because of this, these approaches are sensitive to disturbing photometric phenomena such as highlights and shadows. Moreover, valuable information is neglected by discarding chromaticity from the photometric representation. These issues are addressed by Color STIPs. Color STIPs are multi-channel reformulations of existing intensity-based STIP detectors and descriptors, for which we consider a number of chromatic representations derived from the opponent color space. This enhanced modeling of appearance improves the quality of subsequent STIP detection and description. Color STIPs are shown to substantially outperform their intensity-based counterparts on the challenging UCF~sports, UCF11 and UCF50 action recognition benchmarks. Moreover, the results show that color STIPs are currently the single best low-level feature choice for STIP-based approaches to human action recognition. | ||||
Address | Portland; oregon; June 2013 | ||||
Corporate Author | Thesis | ||||
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ISSN | 1063-6919 | ISBN | Medium | ||
Area | Expedition | Conference | CVPR | ||
Notes | ALTRES;ISE | Approved | no | ||
Call Number | Admin @ si @ EGG2013 | Serial | 2364 | ||
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